When you have read this chapter, you should understand:
how correlation analysis may be applied to study relationships between two or more variables
the uses, requirements and interpretation of correlation coefficients
how predictions are made with regression analysis
how to test regression models for linearity and assess their fit
the non-parametric measures of association and the alternatives they offer when key assumptions and requirements for parametric techniques cannot be met.
